At a Glance
- Tasks: Design and deliver innovative data solutions using Python and Databricks.
- Company: Join JPMorgan Chase, a leader in the financial services industry.
- Benefits: Career growth opportunities, competitive salary, and a diverse, inclusive culture.
- Other info: Collaborative environment focused on excellence and continuous improvement.
- Why this job: Make a real impact on business objectives while driving innovation.
- Qualifications: 3 years of experience in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.
As a Data Engineer at JPMorgan Chase within our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.
Job responsibilities- Develop workflows and ELT pipelines using Python and Databricks.
- Support review of controls to ensure sufficient protection of enterprise data.
- Implement data security using entitlements frameworks.
- Update logical or physical data models based on new use cases.
- Use SQL frequently and understand NoSQL databases.
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Good working knowledge of AWS, Databricks, and Python.
- Experience across the data lifecycle.
- Advanced at SQL, including joins and aggregations.
- Working understanding of NoSQL databases.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
- Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.
- Familiarity with the Standardized data layer practices (Medallion architecture).
- Exposure to Aurora Postgres and MongoDB.
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Data Engineer III - Python, Databricks - Senior Associate in London employer: TwinThread
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Data Engineer III, you will not only have the opportunity to work with cutting-edge technologies like Python and Databricks but also benefit from a supportive environment that prioritises employee growth and diversity. Join us in our commitment to excellence, where your contributions will directly impact our business objectives and help shape the future of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer III - Python, Databricks - Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the role.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with Databricks. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any data pipelines or analytics solutions, make sure to highlight them during your conversations. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at JPMorgan Chase.
We think you need these skills to ace Data Engineer III - Python, Databricks - Senior Associate in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, Databricks, and data engineering to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role at JPMorgan Chase. Share specific examples of how your past experiences align with our goals and culture.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, SQL, or any innovative solutions you've developed. We love seeing your creativity in action!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at TwinThread
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and SQL. Brush up on your knowledge of AWS and NoSQL databases too. Being able to discuss your experience with these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to design and deliver reliable data solutions, as this is key for the role at JPMorgan Chase.
✨Understand the Business Impact
Research JPMorgan Chase’s business objectives and think about how your work as a Data Engineer can contribute to those goals. Be ready to articulate how your skills can drive innovation and support the firm’s success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture, ongoing projects, and the tools they use. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
